A. K. Assouma

Design of a decision-making system for monitoring and early identification of underperformance risks in companies with multiple subsidiaries

A decision support system for monitoring performance and detecting risks of underperformance within companies and organizations, based on a hybrid data-mining approach, combining K-Means clustering with business rules to detect underperformance risks.